Dataset Information

Distinct miRNAs associated with various clinical presentations of SARS-CoV-2 infection.

ABSTRACT: MicroRNAs (miRNAs) have been shown to play important roles in viral infections, but their associations with SARS-CoV-2 infection remain poorly understood. Here, we detected 85 differentially expressed miRNAs (DE-miRNAs) from 2,336 known and 361 novel miRNAs that were identified in 233 plasma samples from 61 healthy controls and 116 patients with COVID-19 using the high-throughput sequencing and computational analysis. These DE-miRNAs were associated with SASR-CoV-2 infection, disease severity, and viral persistence in the patients with COVID-19, respectively. Gene ontology and KEGG pathway analyses of the DE-miRNAs revealed their connections to viral infections, immune responses, and lung diseases. Finally, we established a machine learning model using the DE-miRNAs between various groups for classification of COVID-19 cases with different clinical presentations. Our findings may help understand the contribution of miRNAs to the pathogenesis of COVID-19 and identify potential biomarkers and molecular targets for diagnosis and treatment of SARS-CoV-2 infection.

SUBMITTER: Zeng Q

PROVIDER: S-EPMC9044631 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Distinct miRNAs associated with various clinical presentations of SARS-CoV-2 infection.

Zeng Qiqi Q Qi Xin X Ma Junpeng J Hu Fang F Wang Xiaorui X Qin Hongyu H Li Mengyang M Huang Shaoxin S Yang Yong Y Li Yixin Y Bai Han H Jiang Meng M Ren Doudou D Kang Ye Y Zhao Yang Y Chen Xiaobei X Ding Xi X Ye Di D Wang Yankui Y Jiang Jianguo J Li Dong D Chen Xi X Hu Ke K Zhang Binghong B Shi Bingyin B Zhang Chengsheng C

iScience 20220427 5

MicroRNAs (miRNAs) have been shown to play important roles in viral infections, but their associations with SARS-CoV-2 infection remain poorly understood. Here, we detected 85 differentially expressed miRNAs (DE-miRNAs) from 2,336 known and 361 novel miRNAs that were identified in 233 plasma samples from 61 healthy controls and 116 patients with COVID-19 using the high-throughput sequencing and computational analysis. These DE-miRNAs were associated with SASR-CoV-2 infection, disease severity, a ...[more]

PMID: 35502319

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Project description:The clinical presentations and outcomes of SARS-CoV-2 infection are highly variable, ranging from asymptomatic infections to severe conditions, and the underlying mechanisms remain largely unknown. In this study, we performed the single-cell RNA sequencing to examine the profiles of the peripheral blood mononuclear cells (PBMCs) from the healthy controls (HC), asymptomatic individuals (AS) and symptomatic COVID-19 patients (SM) with various clinical features and disease severity. We first identified nine major cell types, including T cells, B cells, monocytes, natural killer (NK) cells, dendritic cells (DC), platelets, neutrophils, plasma cells and stem cells from a total of 119,799 single cells captured and filtered for the final analysis, and then divided these cell types into separate cell clusters and sub-clusters, respectively. We revealed that SARS-CoV-2 infection resulted in profound alternations in various cellular compartments and identified a number of distinct immune cell subsets that were associated with various clinical presentations, disease severity and viral persistence of COVID-19. (NCAM1+CD160+) NK cells increased significantly in AS and SM individuals compared with the HC. SM patients showed a significant increase in (LAG3+CD160+CD8+) NKT cells and a decrease in (CD4-CD8-) double negative T cells compared with the AS subjects. (CD68-CSF1R-IL1BhiCD14+) classical monocytes were significantly higher in patients with severe disease (SD) than the patients with moderate disease (MD). (CD68-CSF1R-IL1BhiCD14+) classical monocytes and (CLEC10A-S100A9lo)pDC were positively and negatively correlated with the age-related disease severity of COVID-19 patients, respectively. Increases in (CD33-HLA-DMA-CD14+) classical monocytes and (CLEC10A-S100A9lo)pDC were associated with long-term nucleic acid test positive (LTNP) patients compared with the short-term nucleic acid test positive (STNP) individuals. Increases in (LAG3+CD160+CD8+) NKTcells and (FOXP3+IL2RA+IL7R+CD4+) Treg cells were observed in a patient lacking B cells and plasma cells. Dramatic increases in neutrophils, (CD33-HLA-DMA-CD14+) classical monocytes, and (CD68-CSF1R-IL1BhiCD14+) classical monocytes were detected at a later stage of a fatal patient. Our findings may enhance our understanding of the immune cell alternations involved in the pathogenesis of COVID-19 and the protective immune responses against SARS-CoV-2 infection.

Project description:BACKGROUNDInitial reports from the severe acute respiratory coronavirus 2 (SARS-CoV-2) pandemic described children as being less susceptible to coronavirus disease 2019 (COVID-19) than adults. Subsequently, a severe and novel pediatric disorder termed multisystem inflammatory syndrome in children (MIS-C) emerged. We report on unique hematologic and immunologic parameters that distinguish between COVID-19 and MIS-C and provide insight into pathophysiology.METHODSWe prospectively enrolled hospitalized patients with evidence of SARS-CoV-2 infection and classified them as having MIS-C or COVID-19. Patients with COVID-19 were classified as having either minimal or severe disease. Cytokine profiles, viral cycle thresholds (Cts), blood smears, and soluble C5b-9 values were analyzed with clinical data.RESULTSTwenty patients were enrolled (9 severe COVID-19, 5 minimal COVID-19, and 6 MIS-C). Five cytokines (IFN-γ, IL-10, IL-6, IL-8, and TNF-α) contributed to the analysis. TNF-α and IL-10 discriminated between patients with MIS-C and severe COVID-19. The presence of burr cells on blood smears, as well as Cts, differentiated between patients with severe COVID-19 and those with MIS-C.CONCLUSIONPediatric patients with SARS-CoV-2 are at risk for critical illness with severe COVID-19 and MIS-C. Cytokine profiling and examination of peripheral blood smears may distinguish between patients with MIS-C and those with severe COVID-19.FUNDINGFinancial support for this project was provided by CHOP Frontiers Program Immune Dysregulation Team; National Institute of Allergy and Infectious Diseases; National Cancer Institute; the Leukemia and Lymphoma Society; Cookies for Kids Cancer; Alex's Lemonade Stand Foundation for Childhood Cancer; Children's Oncology Group; Stand UP 2 Cancer; Team Connor; the Kate Amato Foundations; Burroughs Wellcome Fund CAMS; the Clinical Immunology Society; the American Academy of Allergy, Asthma, and Immunology; and the Institute for Translational Medicine and Therapeutics.

Dataset Information

Distinct miRNAs associated with various clinical presentations of SARS-CoV-2 infection.

Publications

Distinct miRNAs associated with various clinical presentations of SARS-CoV-2 infection.

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